WO2022242909A1 - Procédé et dispositif pour contrôler des documents de valeur et procédé et dispositif pour produire des paramètres de contrôle pour le procédé de contrôle - Google Patents

Procédé et dispositif pour contrôler des documents de valeur et procédé et dispositif pour produire des paramètres de contrôle pour le procédé de contrôle Download PDF

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Publication number
WO2022242909A1
WO2022242909A1 PCT/EP2022/025226 EP2022025226W WO2022242909A1 WO 2022242909 A1 WO2022242909 A1 WO 2022242909A1 EP 2022025226 W EP2022025226 W EP 2022025226W WO 2022242909 A1 WO2022242909 A1 WO 2022242909A1
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WO
WIPO (PCT)
Prior art keywords
value
areas
specified
documents
location
Prior art date
Application number
PCT/EP2022/025226
Other languages
German (de)
English (en)
Inventor
Maria KODEWITZ
Original Assignee
Giesecke+Devrient Currency Technology Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Giesecke+Devrient Currency Technology Gmbh filed Critical Giesecke+Devrient Currency Technology Gmbh
Priority to EP22728040.1A priority Critical patent/EP4341906A1/fr
Priority to CN202280036105.5A priority patent/CN117377979A/zh
Publication of WO2022242909A1 publication Critical patent/WO2022242909A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/60—Editing figures and text; Combining figures or text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/146—Aligning or centring of the image pick-up or image-field
    • G06V30/1465—Aligning or centring of the image pick-up or image-field by locating a pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/41—Analysis of document content
    • G06V30/412—Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/42—Document-oriented image-based pattern recognition based on the type of document
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12—Visible light, infrared or ultraviolet radiation
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/20—Testing patterns thereon
    • G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/20—Testing patterns thereon
    • G07D7/202—Testing patterns thereon using pattern matching
    • G07D7/206—Matching template patterns

Definitions

  • the present invention relates to a method and a device for checking documents of value and a method and a device for generating checking parameters for use in the method for checking documents of value.
  • Documents of value are understood to mean sheet-like objects which, for example, represent a monetary value or an authorization and should therefore not be able to be produced arbitrarily by unauthorized persons. They therefore have features that are not easy to produce, in particular to copy, the presence of which is an indication of authenticity, i.e. production by an authorized body.
  • Important examples of such value documents or types of value documents are chip cards, coupons, vouchers, checks and, in particular, banknotes.
  • value document types can be further differentiated; Within the scope of the present invention, a value document type can be given by the currency and the face value of a banknote or the denomination and, if applicable, the issue or the period in which these were issued officially, for example by central banks. Insofar as the following explanations relate to banknotes, they apply accordingly to any other type of value document.
  • Banknotes are often produced by printing a substrate in a number of steps or production steps, with a printed layer being applied to the banknote substrate in each of the steps.
  • the printed layers applied should have predetermined positions relative to the banknote substrate and/or to each other, but this is usually only approximate. This is usually the case, since the print layers can be shifted relative to one another due to the manufacturing process. As a consequence, there are variations in the appearance of the banknotes.
  • the print layers can partially overlap or cover each other.
  • a digital image of the value document to be checked is often recorded and used for checking.
  • a digital image is understood to mean an image which comprises pixels and pixel data respectively assigned to the pixels.
  • each pixel corresponds to a corresponding location in the image (or to a corresponding location on the document of value) for which the pixel data apply.
  • the pixel data can preferably represent brightnesses or color values of the respective pixels.
  • it is checked whether or to what extent the digital image meets at least one specified test criterion.
  • test parameters are used for the test method, which determine the specified properties of value documents of the specified value document type.
  • the test parameters can then include, for example, a template for value documents of the specified value document type.
  • a template is understood to mean data, the pixels of at least one section of a digital image of a value document of the specified value document type and the pixels of each containing associated template pixel data. In this case, each pixel corresponds to a corresponding location in the image for which the pixel data apply.
  • the resolution ie the number of pixels in relation to the area, and their arrangement in relation to one another preferably corresponds to that of the digital image of the value document to be checked of the specified value document type.
  • the template pixel data can include at least one individual value and/or a range for values to be regarded as permissible for the pixel data of a value document image to be checked.
  • the pixel data or values for pixels of an image of a document of value lie within an interval for permissible values specified by a template. If a value is below the interval, contamination can be inferred; if it is above the interval, ink removal can be inferred. Otherwise, the pixel is assumed to have no degradation.
  • test parameters and in particular also templates are each adapted and created for a given value document type, in the case of banknotes given for example by the currency and the value or the denomination and possibly the issue.
  • templates are often created by averaging over a large number of images of training value documents of the specified value document type, so that an average over the corresponding pixel data of the training value documents is used as template pixel data for a pixel.
  • Lower and upper intensity limits can be defined for pixels as template pixel data, which can be given by the minimum and maximum intensity values for the respective pixel over the set of training value documents.
  • the same template is therefore used for any value documents of the same value document type.
  • variations in the position of the print layers lead to inaccurate templates, particularly in the case where interval boundaries are used.
  • the above-described variations in the position of the print layers mean that these methods can work less precisely, since the templates are not very precise and/or tolerances to compensate for the still permissible displacement of the print layers to one another and so that the variations in the pixel data associated with the variation in the shifts must be allowed.
  • production elements are elements of a document of value which at least partially determine and/or influence the appearance of the document of value in the visible or non-visible (e.g. IR and/or UV) spectral range, in particular layers of printing, and are manufactured or applied independently and/or in separate manufacturing steps from other elements, in particular manufacturing elements.
  • visible or non-visible e.g. IR and/or UV
  • Examples of crafting items are via Printed layers applied to a value document substrate by intaglio or offset printing, elements applied to the substrate by means of screen printing, such as images or characters with a color that depends on the viewing angle, or optically detectable security elements, such as watermarks or embedded security threads introduced into the substrate or on the substrate Foils applied, for example by means of hot embossing processes, optionally with holograms.
  • elements applied to the substrate by means of screen printing such as images or characters with a color that depends on the viewing angle
  • optically detectable security elements such as watermarks or embedded security threads introduced into the substrate or on the substrate
  • Foils applied for example by means of hot embossing processes, optionally with holograms.
  • the following explanations may in part refer to printed layers. However, they apply accordingly to any type of production element, in particular to the examples of production elements described above.
  • the invention is based on the object of specifying a method for checking documents of value of a given type of document of value, which have at least two production elements, and a method for providing checking parameters for the checking method, which allow simple, accurate checking of such documents of value.
  • a method for checking documents of value of a given type of document of value which have at least two production elements
  • a method for providing checking parameters for the checking method which allow simple, accurate checking of such documents of value.
  • the object is achieved by a method with the features of claim 1 and in particular a method for generating or forming templates for checking value documents of a specified value document type, in particular banknotes, wherein value documents of the specified value document type have at least two specified production elements, in particular Print layers and/or security elements, which optionally partially overlap, are used in which digital training images of training value documents of the specified value document type are used, which each have pixels to which pixel data are assigned.
  • a determination of position data records with position coordinates in a coordinate space which describe the positions of the production elements on the document of value at least relative to one another, and the formation of at least two, preferably at least four, partial position areas of the coordinate space, each of which contains at least a predetermined number of positions ten records include, wherein the location sub-areas contain no common location data records.
  • a template is then determined for each of the location sub-areas using training images of the value documents, and the template and location sub-areas data that describe the location and extent of the respective location sub-area are stored.
  • the templates and the location subarea data are stored in a manner assigned to one another.
  • the method is preferably carried out with the aid of a computer.
  • the procedure is also referred to as an adaptation procedure, since the creation of templates adapts the parameters for the actual test procedure.
  • the object is also achieved by a method with the features of claim 12 and in particular a method for checking value documents of a specified value document type, which each have two specified production elements, in particular printed layers and/or security elements, which may partially overlap, using at least two templates that are specified for specified partial layer areas for layers of the production elements, preferably using an inventive adaptation method or method for generating or forming templates for checking value documents of a specified value document type.
  • the method also referred to as a verification method in the following, comprises the steps: providing a digital value document image of a value document to be verified of the specified value document type, which includes pixels, each of which is assigned pixel data, determining a position of the production elements in the document of value provided, at least relative to one another, determining a template for the digital document of value image as a function of the determined position of the production elements and the specified partial position areas, and checking the digital Value document image using the identified template.
  • a procedure is also referred to below as a test procedure.
  • a method is used which is also referred to below as the image checking method.
  • the templates are preferably provided in the method in a first step.
  • At least two templates and partial position areas or partial position area data assigned to them are used.
  • the position sub-areas or position sub-area data assigned to a respective template define for which determined positions or at least relative positions of the production elements or position data in a value document to be checked of the specified value document type the template is to be used.
  • the suitable template for checking the document of value can be determined as a function of the determined positions or at least relative positions of the production elements.
  • the partial position areas or the partial position area data defining them can be stored in a memory device.
  • the adaptation procedure is used to provide templates that can be used in a test procedure.
  • a value document or the respective digital can then be checked Document of value image are performed using the template determined for the document of value image.
  • the adaptation process and the test process, in particular the type of template(s) and the actual image test process, must therefore be coordinated with one another.
  • the image checking method is preferably specified.
  • training value documents of the specified value document type are used. This can be in the form of data that has been previously recorded and stored, for example. In other embodiments, it is also possible, please include the training images to be recorded directly using a suitable device and processed further.
  • the training value documents of the specified value document type are a set of specified value documents which preferably have at least partially different relative positions of the production elements, as they typically occur, for example due to production. Accordingly, the training images show a corresponding scattering of the relative positions of the manufacturing elements.
  • the number of training value documents and thus of training images is preferably greater than twice the specified number of location data records.
  • At least one position data record is determined for each of the training images, which describes the position of the production elements on the corresponding training value document at least relative to one another.
  • the position of the production elements at least relative to each other can be determined using any method.
  • at least one so-called anchor element and an anchor point that reflects its position can be specified for each of the production elements.
  • the anchor element can preferably have a cha- for the production element be a characteristic image section, for example a character or another distinctive printed image section, which is present in images of value documents of the specified value document type, ie in particular in the training images.
  • Such anchor elements can be selected automatically and/or manually.
  • the anchor elements or the positions of the anchor points can be determined in the images by means of template matching or other correlation methods.
  • At least two anchor elements are preferably specified for each of the production elements. If the positions of the production elements are determined independently of one another, it is always possible to determine the position relative to one another. In this respect, determining the positions of the production elements independently of one another corresponds to determining at least the relative positions of the production elements.
  • the position of the production elements is reproduced by position data sets with position coordinates in a predetermined coordinate space. Coordinates in relation to a reference system of the document of value, for example a corner and two edges of the document of value, can be used as position data records for each of the production elements. However, it is also possible to specify only coordinates of a displacement vector which describes the offset of the production elements relative to one another. This is particularly advantageous when a given one of the production elements always has the same position in the value document images.
  • partial position areas of the coordinate space are used, in which position data sets are located or which include the position data sets.
  • the location sub-areas can be defined by location sub-areas data that describe the location and extent of the location sub-areas.
  • a location sub-area can be given, for example, by a quantity of explicitly specified location sub-area data.
  • the position ranges can preferably be given by intervals or interval limits for the position coordinates or by functions and parameters for the functions that delimit a respective position range.
  • At least two partial position areas of the coordinate space are determined in the adaptation method.
  • partial position area data are determined which describe the position and extension of the respective partial position area in the coordinate space.
  • the position sub-areas are determined in such a way that each of the position data sets for the training images used lies in one of the position sub-areas formed.
  • the position sub-areas cover the position data sets of the training images, preferably completely.
  • these are selected in such a way that the sub-areas of the situation do not contain any common situation data records. This means that none of the location data sets is located in at least two different location sub-areas at the same time. In this respect, the location sub-areas do not overlap.
  • each of the partial location areas includes at least a predetermined number of location data records. This means that at least the specified number of position data sets is located in each of the partial position areas.
  • the specified number can be specified depending on the requirements when creating a template for the location subarea, but it is always more than 10. If the template is created using statistical drive, for example an averaging, generated, so a certain minimum accuracy can be achieved by the number is selected depending on the minimum accuracy.
  • At least four, preferably more, location sub-areas, in particular location sub-areas data, and templates assigned to them are formed and stored. Since the variation of the position coordinates and thus that of the production elements in the partial position areas is smaller than that for the training images or training value documents used overall, more precise templates can be created. The templates and thus the test should become more and more accurate as the number of sub-areas increases and the extent of the sub-areas decreases.
  • a template is then formed for each of the position sub-areas from the training images of the training value documents whose position data coordinates are contained or lie in the respective position sub-area.
  • the respective location sub-area and the template determined for this are therefore assigned to one another.
  • the respective template and the sub-area data assigned to it are stored in association with one another.
  • templates and the assigned partial location area data are preferably used in the test method according to the invention for documents of value of the specified document of value type. They can preferably be provided at the beginning of the test procedure. For example, they can be stored in a testing device for carrying out the method.
  • a digital value document image of a value document to be verified is provided.
  • the picture is stored somewhere.
  • it is preferably detected by means of a suitable device and then processed in real time.
  • the value document image preferably has the same resolution as the training value documents and depicts the same area of the value document.
  • the position of the production elements is then determined from the value document image, the position being described by position data sets with position coordinates in a coordinate space.
  • the coordinate spaces are preferably the same when generating the templates and when checking them. Otherwise the coordinates can be transformed accordingly.
  • the determination of the position can be determined using any method.
  • at least one so-called anchor element and an anchor point that reflects its position can be specified for each of the production elements.
  • the anchor element can preferably be an image section characteristic of the production element, for example a character or another distinctive printed image section that is present in images of value documents of the specified value document type, ie in particular also in the training images. Such anchor elements can be selected automatically and/or manually.
  • the anchor elements or the positions of the anchor points can be determined in the images by means of template matching or other correlation methods.
  • at least two anchor elements are preferably specified for each of the production elements. It is particularly preferred to use the same position determination method that was also used to generate the templates.
  • one of the templates is then determined, which is used for further testing. This happens before preferably in that, depending on the position sub-area data for the templates, it is checked which of the position sub-areas contains the position coordinates, and then the template assigned to this is determined. This template is then used for further testing, preferably with an otherwise known image testing method.
  • the test method can preferably also include the formation and delivery of a test signal that represents the result of the test.
  • a test signal that represents the result of the test.
  • further treatment of the document of value depicted in the image of the document of value can be controlled.
  • a device for creating or forming templates for checking value documents of a specified value document type in particular banknotes, wherein value documents of the specified value document type have at least two specified production elements, in particular printing layers and/or security elements that are optionally partially overlapping, where digital training images of training value documents of the specified value document type, which each have pixels to which pixel data are assigned, are used, with a storage device for storing digital training images of value documents of the specified value document type, the device for this is designed to carry out an adaptation method according to the invention using the training images.
  • the device can preferably also have an interface via which the generated templates and these assigned position partial area data can be transmitted to another, preferably remote device, for example a memory device.
  • the interface can preferably have an interface for a data network.
  • the device is then preferably designed to transmit the generated templates and the partial location area data assigned to them to the other device.
  • the device itself can preferably be designed to store the generated templates and the partial position area data in a memory device and/or in the memory device.
  • the device can have a computer, preferably with at least one processor, which is connected to the memory device via a data connection.
  • a computer is understood to mean any data processing device.
  • the subject matter of the present invention is therefore also a computer program with program code, in particular program code means, in order to carry out an adaptation method according to the invention when the program is run on a computer.
  • the computer program is preferably stored in the memory device or in a memory of the computer.
  • the subject matter of the present invention is therefore also a computer-readable data carrier with program code that can be executed by a computer, so that the computer executes an adaptation method according to the invention.
  • a device for checking documents of value with the features of claim 13 and in particular a device for checking documents of value, in particular bank notes which each have at least two predetermined production elements, in particular printed layers and/or security elements, which may partially overlap, using templates generated in particular with an adaptation method according to the invention and partial location area data assigned to the templates, with an evaluation device which has at least one memory in which the templates and the location partial area data respectively assigned to them are stored, and an interface for providing a digital document of value image, the evaluation device being set up to carry out a test method according to the invention.
  • a device for checking documents of value with the features of claim 13 and in particular a device for checking documents of value, in particular bank notes which each have at least two predetermined production elements, in particular printed layers and/or security elements, which may partially overlap, using templates generated in particular with an adaptation method according to the invention and partial location area data assigned to the templates, with an evaluation device which has at least one memory in which the templates and the location partial area data respectively assigned to them are stored, and an interface for providing a digital document
  • the evaluation device can in particular include a computer and have at least one processor which is connected to the memory via a data connection.
  • program code can then be stored in a program memory, and when it is executed by the computer or processor, a test method according to the invention is carried out.
  • the subject matter of the present invention is therefore also a computer program with program code in order to carry out a test method according to the invention when the program is run on a computer.
  • a further object of the present invention is also a computer-readable data carrier with program code, during the execution of which a computer carries out a test method according to the invention.
  • the testing device can work independently of a device by means of which an image of a document of value is captured.
  • the testing device also has an image acquisition device for capturing a digital value document image of a value document to be checked, which is connected to the interface for providing a digital value document image via a signal connection.
  • the image acquisition device can preferably have a spatially resolving optical sensor, for example a camera. This has the advantage that an evaluation of an image of a document of value can be carried out directly in connection with the capture of the image of a document of value in real time.
  • the testing device can also have an interface, by means of which the testing device can emit test signals that reflect a result of a test that has been carried out.
  • the subject of the present invention is therefore also a device with the features of claim 17 and in particular a device for processing, in particular checking and/or counting and/or sorting and/or destroying, value documents of a specified value document type, in particular banknotes, which in each case have at least two specified production elements, in particular printed layers and/or security elements, which may partially overlap, with a feed device for feeding individual or isolated documents of value to be processed, an output device with at least one output section for receiving processed documents of value, a transport device for Transporting individual or isolated documents of value from the feed device to the output device, and a testing device according to the invention.
  • An image acquisition device of the inspection device is preferably arranged on the transport path and set up in such a way that digital images of documents of value documents of value to be checked that are transported past the image detection device are recorded during the transport past and are made available for use in the checking device.
  • This device for processing documents of value is also referred to below as a processing device.
  • the processing device is preferably designed to control the further processing of a transported document of value depending on a result of the checking device when checking the digital image of the document of value. For example, a transported and checked document of value could be sorted into different sections of the output device depending on the result of the checking or, with a corresponding design of the processing device, shredded.
  • At least two templates are used in the method, each of which was determined and used for specific areas of layers of the production elements, the location sub-areas.
  • the extent and location of the location sub-areas are described by the location sub-areas data.
  • the partial position areas can in principle be formed in any desired manner.
  • the formation of the partial position areas can include a number of division steps.
  • a current one of the existing location sub-areas which contains twice the specified number or more than twice the specified number of location data sets, can be divided into a specified division number of newly formed location sub-areas, each of which contains at least the specified number of location records include.
  • the current one of the existing partial position areas can then be replaced by the newly formed partial position areas.
  • a region containing the position coordinates of all training value documents is used as the partial location region.
  • the dividing steps are carried out until all the sub-regions formed meet at least one predetermined termination criterion. The latter can be checked at the beginning or at the end of a division step.
  • the number of divisions for a partial position area to be divided i.e. the number of partial position areas that result from a current partial position area, is preferably selected in such a way that the partial position areas formed in the respective division step each contain at least the specified number of position data sets and at most twice the specified number of Location data records include.
  • This choice can result in a division of the relevant part of the coordinate space that is uniform in relation to the number of training images. In areas with a greater density of location data sets, and these corresponding training value documents, smaller location sub-areas are formed than in other areas. The templates in these areas will therefore be more precise or allow for a more detailed check.
  • a current partial position area can be divided up in any way apart from the boundary conditions mentioned so far.
  • the coordinate space can be n-dimensional with n>1, and a division in only one of the dimensions can be carried out in each of the division steps.
  • Successive divisions of a partial layer area and partial layer areas resulting therefrom, particularly preferably directly consecutive divisions of a partial layer area and partial layer areas resulting therefrom, are preferably carried out in different spatial dimensions.
  • a sub-area of a layer can therefore be divided in a first dimension, and the subsequent division of the sub-areas of the layer that has arisen can be in another dimension.
  • the advantage of this procedure is that the individual division is easy to carry out, but overall there is a division in all dimensions.
  • the repeated divisions are carried out until the specified termination criterion is met.
  • the termination criterion implicitly contains the sub-criterion that the number of location data sets in a sub-area of location formed must not be less than the specified number.
  • the termination criterion can include further sub-criteria, the termination criterion then being met if at least one of the sub-criteria, preferably all sub-criteria, are met.
  • the termination criterion can contain the criterion or partial criterion that the partial position areas contain at most a predetermined multiple, preferably double, of the predetermined number of position data sets. This can be used to generate templates for location sub-areas whose size is essentially determined by the specified number of location data sets. is true: in areas with a high density of location data sets, the location sub-areas are smaller, although the templates can still meet minimum accuracy criteria due to the interval for the location data sets they contain.
  • the termination criterion can also contain the criterion or sub-criterion that the number of position data sets in the position sub-areas is less than a tolerance percentage based on a reference value, preferably the mean value of the number of position data sets in the position sub-areas over all then existing position sub-areas , differentiate.
  • the tolerance value can be chosen to be 50%, for example.
  • the termination criterion can also contain a partial criterion that relates to the extent of the partial position area in the coordinate space.
  • the termination criterion can contain the criterion or partial criterion that an extension of the partial position areas in at least one direction of the coordinate space falls below a predetermined maximum extension for the at least one direction.
  • the termination criterion can also contain the criterion or partial criterion that the number of partial position areas is less than or equal to a predetermined number of partial position areas. This option can be preferred if, for example to speed up and/or simplify the test, with a large number of training images, only a small number of templates and the partial position areas assigned to them are to be generated.
  • a Temp late is formed for each of the partial position areas.
  • Known methods for determining templates can be used for this purpose, which are preferably selected depending on the test method that uses the templates. In the simplest case, only those training images are used for determining a template for a location sub-area for which location data records were determined that lie in the location sub-area. In other cases, however, it may be preferred in the method that when determining the templates for the location sub-areas, the training images of those training value documents whose location data sets are in the respective location sub-area and training images of those training value documents whose location data sets are within a predetermined distance from the boundary of the respective location sub-area, but lie outside the location sub-area.
  • FIG. 1 shows a schematic representation of a value document processing device, in the example of a bank note sorting device
  • FIG. 3A, B roughly schematic representations of documents of value which have different types of production elements
  • FIG. 3C a schematic representation of a digital image captured from the document of value in FIG. 3B
  • FIG. 6 shows a flow chart with partial steps of a step S12 in FIG. 4,
  • FIG. 7A-D depictions of location data records in a coordinate space in different division cycles according to Fig. 6, 8 shows a roughly schematic flowchart for a further example of an adaptation method for generating templates
  • a value document processing device 10 in Fig. 1 in the example a device for processing value documents 12 of a specified value document type in the form of banknotes, is for sorting value documents 12 depending on the status determined by means of value document processing device 10 and by means of value document processing device 10 certified authenticity of processed value documents.
  • She has a feeder 14 for feeding Wertdoku elements 12, an output device 16 for delivery or recording processed teter, d. H. sorted documents of value, and a transport device 18 for transporting separated documents of value from the feed device 14 to the output device 16.
  • the feed device 14 comprises an input tray 20 for a stack of documents of value and a separator 22 for separating documents of value 12 from the stack of documents of value in the input tray 20 and feeding separated documents of value to the transport device 18.
  • the output device 16 comprises three output sections 24, 25 and 26, into which the processed documents of value can be sorted depending on the intermediate result of the processing, in the example checking.
  • each of the sections includes a stacking compartment and a stacking wheel, not shown, by means of which documents of value supplied can be deposited in the stacking compartment.
  • an output section can be replaced by a device for destroying banknotes.
  • the transport device 18 has at least two, in the example three, branches 28, 29 and 30, at the ends of which one of the output sections 24 or 25 or 26 is arranged, and at the branches via points 32 and 34 that can be controlled by actuating signals, by means of which Documents of value as a function of actuating signals can be fed to the branches 28 to 30 and thus to the output sections 24 to 26.
  • a sensor device 38 is arranged on a transport path 36 defined by the transport device 18 between the feed device 14, more precisely the sorting device 22 in the example, and the first diverter 32 in the transport direction T after the sorting device 22 and forms sensor signals reflecting the detection results, which represent sensor data.
  • the sensor device 38 has an image capturing device 40 with an optical remission sensor that captures a remission color image of the document of value, as well as other sensors 42, symbolized only by boxes, for other physical properties of a document of value.
  • a control and evaluation device 46 is connected to the sensor device 38 and the transport device 18, in particular the points 32 and 34, via signal connections. In conjunction with the sensor device 38, it classifies a document of value into one of predefined sorting classes. These sorting classes can be specified, for example, as a function of a condition value determined using the sensor data and also as a function of an authenticity value determined using the sensor data. For example, the values “suitable for circulation” or “not fit for circulation” can be used as condition values, and the values “forged”, “suspected of forgery” or “genuine” can be used as authenticity values.
  • the transport device 18 controls the transport device 18, more precisely the points 32 or 34 here, by emitting actuating signals, such that the document of value is output according to the sorting class determined during the classification into an output section of the output device 16 assigned to the class.
  • the assignment to one of the predefined sorting classes or the classification takes place as a function of predefined criteria for the assessment of the condition and the assessment of the authenticity, which depend on at least part of the sensor data.
  • control and evaluation device 46 has a processor 48 and a memory 50 connected to processor 48, in which at least one computer program Program code is stored, when the processor 48 executes the device, it controls the device and evaluates the sensor signals from the sensor device 38, in particular to determine a sorting class of a processed document of value.
  • Wei ter program code is stored therein, when executed, the processor 48 controls the device and according to the evaluation, the transport device 18 controls.
  • the interface 44, the processor 50 and the memory 48 or a section of the memory 48 in which a corresponding computer program and method parameters are stored are part of a computer and form an evaluation device 47 within the meaning of the present disclosure.
  • the evaluation device 47 evaluates the signals of the reflection sensor 40 separately from those of the other sensors.
  • the processor 50 and other sections of the memory 48 can also perform other functions, in the example controlling the value document processing device 10.
  • the remission sensor 40 is designed to capture an RGB remission image of a document of value while it is being transported past the remission sensor 40 by means of the transport device 18 and to generate a digital image therefrom, which the evaluation device 47 evaluates.
  • control and evaluation device 46 uses the sensor data from the various sensors in partial evaluations to determine whether the value document properties determined represent an indication of the condition or the authenticity of the value document or not. As a result, corresponding data can be stored in the control and evaluation device 46, for example the memory 50, for later use.
  • the control and evaluation device 46 determines a sorting class as the overall result for the test according to a predefined overall criterion and forms the sorting or actuating signal for the transport device 18 depending on the determined sorting class.
  • documents of value 12 placed in the input compartment 20 as a stack or individually are fed by the separator 22 and individually to the transport device 18 , which transports the separated documents of value 12 past the sensor device 38 .
  • the control and evaluation device 46 detects the sensor signals or data, determines a sorting class based on these, in the example a combination of an authenticity class and a condition class, of the respective document of value and controls the gates depending on the result that the documents of value are transported according to the ascertained sorting class into an output section assigned to the respective sorting class.
  • the evaluation device 47 together with the image acquisition device 40 form an example of a checking device for checking value documents of a specified value document type, which each have two specified production elements, in particular print layers and/or security elements.
  • the computer program contains instructions for a method for checking value documents of a specified value document type, in particular banknotes, each of which has two specified production elements, in particular printed layers and/or security elements, using, in particular, a means of one described below Adaptation process generated procedure, templates that are specified for specified positions of the manufacturing or manufacturing elements to run.
  • a digital image of a document of value of a document of value to be checked is captured by means of the remission sensor 40 and made available in the evaluation device 47 in a corresponding section of the memory 50 .
  • For the position of the production elements relative to one another is determined using the value document image provided.
  • a template for the digital document of value image or its verification is then defined in real time depending on the determined position of the production elements using the position partial area data.
  • the digital value document image is then checked using the determined template.
  • An adaptation device shown roughly schematically in Fig. 2, is used to provide templates, i.e. a device 70 for generating templates for checking value documents of a specified value document type, with value documents of the specified value document type having at least two specified production elements, in particular printing layers and/or Security elements, which may partially overlap, have.
  • the device 70 is a data processing device with a storage device 72 for storing digital training images of the specified value document type and preferably generated templates.
  • the adaptation device 70 is designed to carry out an adaptation method described below using the training images and to store the generated templates and the assigned position partial area data in the storage device 72 .
  • the device can have at least one processor 74, which is connected to the memory device 72 via a data connection, and a program memory 76, which is connected to the processor 74 via a data connection and in which program code is stored, when the device is executed by the processor 74, the carries out the adaptation method described below using the training images stored in the memory device 72 .
  • the program memory 76 can also be formed by a portion of the memory device 72 .
  • the adaptation device 70 can also have a data interface (not shown in the figure), for example a network card or LAN card, via which generated element templates stored in the storage device 72 can be transmitted to another device.
  • FIG. 3A An example of a value document 12 of a specified value document type with two specified production elements or production elements 62 and 64 in the form of printed layers is shown in a roughly schematic manner in FIG. 3A.
  • FIG. 3B shows another value document of the same value document type as in FIG. 3A, in which the relative position of the production elements 62' and 64' corresponding to the production elements 62 and 64 differs from that for the value document in FIG. 3A.
  • the location of the production element 62 in FIG. 3A is represented by a dashed line in FIG. 3B.
  • the difference in relative locations is illustrated in Figures 3A and 3B by a vector V and V respectively extending from a given characteristic element 62A or 62A ' of production element 62 or 62' to another given characteristic portion or element 64A and 64A 1 of production element 64 and 64', respectively.
  • This vector will in turn be represented by two corresponding components in a two-dimensional Cartesian coordinate system, in the example with an x- and a y-axis.
  • the digital image 60 of the document of value in FIG. 3B is shown again schematically in FIG. 3C. It contains pixels 66, which are arranged on a square grid in the example and correspond to locations in the digital image and thus on the document of value depicted.
  • the image is pre-processed in such a way that it only shows the document of value 12 over the full area, the can th of the document of value in the image thus run along the corresponding edge pixels. In this example, this pre-processing is carried out for all images, so that the images contain corresponding representations.
  • the vector V or V can then be represented by corresponding pixel coordinates, which can preferably be non-negative integers.
  • the x and y axes run parallel to the long and short edges of the document of value in the image.
  • digital training images of training value documents of the specified value document type are used. These are provided for the adaptation process in a first step.
  • finished and clean, preferably freshly printed value documents of the specified value document type are used, which preferably have variations in the position of the production elements.
  • the documents of value preferably also include those with major differences in the position of the production elements. These are preferably selected so that they contain corresponding documents of value with different relative positions of the production elements 62 and 64, with the frequency of documents of value with given relative positions particularly preferably corresponding at least approximately to the frequency of actual documents of value of the specified document of value type.
  • the training images can, for example, be recorded with the processing device 10 described, in particular the remission sensor 40, for which purpose the digital images supplied to the evaluation device 47 are stored. This can be done by means of a storage medium or via transmit a data connection (not shown) to the adaptation device 70 and store it there in the storage device 72 and thus make it available.
  • the digital images each have the same number and arrangement of pixels and show the entire document of value.
  • step S10 a position data set with position coordinates in a coordinate space is determined for each of the training images.
  • the position data record or the position coordinates therein respectively describe the position of the production elements on the document of value relative to one another.
  • the coordinate space is therefore two-dimensional.
  • the positions are each determined in relation to the same position reference system, which is given by the edges of the document of value in the image or, since the image only shows the entire document of value, by the edges of the image or corresponding axes.
  • anchor areas 62A and 64A are used in the present example, which were previously defined for documents of value of the specified document of value type and are characteristic of the production element and in particular are always visible.
  • only one anchor region is used in each case in order to simplify the illustration; in other exemplary embodiments, at least two or more anchor regions are preferably used for each of the production elements.
  • the anchor areas can each be searched for in the digital images using methods that are known per se. In the present example, the mean value over the locations of the pattern can be used as the position of the anchor area.
  • the relative position is in the form of a vector as previously mentioned was stored associated with the training image, for which purpose corresponding vector components are used, which are also regarded as position coordinates.
  • each of the vectors leads from the anchor area 62A to the anchor area 64A.
  • the result of this step is therefore a set of training images and vectors or vector components DCAB and AyAB assigned to them in the mutually orthogonal directions or dimensions of the coordinate space: a vector is therefore assigned to each training image.
  • step S12 at least two partial position areas of the coordinate space are formed, each of which includes at least a predetermined number of position data sets, wherein the partial position areas, ie different partial position areas, do not contain any common position data sets.
  • the partial layer areas can have any predetermined shape, but the partial layer areas preferably all have the same shape, in the example a rectangular shape.
  • the location sub-areas can at least differ in terms of their location and possibly also their dimensions example the page lengths.
  • the position, shape and dimension or size of a position subarea are described by suitable position subarea data which are preferably given, as in this exemplary embodiment, by coordinates of suitable points in the coordinate space which describe the position and at least the dimensions.
  • suitable position subarea data which are preferably given, as in this exemplary embodiment, by coordinates of suitable points in the coordinate space which describe the position and at least the dimensions.
  • the coordinates of diagonally opposite corner points of a respective rectangular partial position area can be used, for example provided that the shape of a rectangle is selected as the shape in the method.
  • step S12 for the formation of the partial layer regions partial steps are carried out, optionally repeated, until a predetermined termination criterion is met.
  • an area containing the position coordinates of all training value documents is used as the position sub-area for the first division step, in the example the smallest rectangular area in which all position data sets are located.
  • a division is carried out in only one of the dimensions, preferably one of the dimensions or directions of the coordinate space.
  • a division takes place in each case along one of two mutually orthogonal division directions.
  • these are the coordinate axes of the coordinate space.
  • a partial layer area was divided by division in a first division direction
  • the division takes place in a second division direction that is orthogonal to the first division direction. This is done in such a way that, for the partial layer regions created during a division, the direction along which division took place when they were formed is stored, or the direction along which the next division is to be made is stored.
  • one of the division directions is specified and used. The corresponding direction of division to be used can then be determined for the next division.
  • step S12.1 a next position sub-area to be processed is selected from the existing, current position sub-areas.
  • step S12.2 it is checked whether the number of location data records in the selected, current partial location area is greater than N times the minimum number. If this is not the case, it is not possible to divide the location into sub-areas with at least the minimum number of location data records.
  • the method then continues with step S12.5, in which a termination criterion is checked. This is described in more detail below. If, on the other hand, the number of location data sets in the selected current location sub-area is greater than N times the minimum number, the current location sub-area is divided into N location sub-areas in step S12.3. If the current partial layer area was created by dividing along a first of the dividing directions, the second of the dividing directions, which runs orthogonally to the first dividing direction, is used in step S12.3. The division is carried out in such a way that at least the minimum number of location data sets is located in the resulting partial location areas.
  • the division is carried out in such a way that the number of location data sets in a rectangular location sub-area is determined. If this is less than three times the predetermined number, the partial position area is divided along the predetermined direction into two newly formed partial position areas, which contain approximately the same number of position data records. Otherwise, by dividing along the specified direction, a partial location area is formed that contains the specified number of location data sets and another partial location area that has at least twice the specified number.
  • step S12.4 the current partial position area or the partial position area data defining it is replaced by the newly formed partial position areas or the partial position area data defining it.
  • sub-positional area data are stored, each assigned to them, which indicate the position and shape of the sub-positional areas.
  • Step S12.5 is then carried out, in which the termination criterion already mentioned above is checked.
  • step S12.1 to S12.4 are carried out until all the partial layer areas formed meet at least one predetermined termination criterion fulfill what is checked in the example in step S12.5 already mentioned. If this is the case, no further division is carried out and the process continues with step S14. Otherwise, another division is attempted, for which purpose step S12.1 is carried out again on the basis of the partial position areas that are then present.
  • the termination criterion can be a single criterion, or it can comprise a number of partial criteria that must be met either cumulatively or alternatively in order for the termination criterion to be considered met.
  • the only criterion checked is whether at least one partial position area present at this point in time contains less than N times or N times the minimum number of position data sets. If this is the case, the termination criterion is met, step S12 is ended and the method continues with step S14. Otherwise the method continues with step S12.1.
  • FIG. 7A shows the initial situation before the first division: in the coordinate space, here a Cartesian coordinate system with coordinate axes DCAB and DCAB, the relative positions of the production elements of all training images used are represented by crosses. They lie within a partial position area To in the form of a rectangle, which is selected as the first partial position area in step S12.1.
  • the position and size of the partial position area is described by two diagonally opposite corner points Ao and Bo (upper left corner and lower right corner) or their coordinates as position partial area data. A number of 5 is chosen as the minimum number of location data sets for a simpler representation.
  • step S12.3 After checking the number of position data records in the area To in a step corresponding to step S12.2, in a step corresponding to step S12.3 the Dc AB direction is selected as the division direction for the selected partial position area.
  • a corresponding dividing line is shown in broken lines in FIG. 7B.
  • step S12.4 the partial position area To is replaced by the newly formed partial position areas Ti and T 2 .
  • step S12.4 the position sub-area data Ao and Bo are replaced by corresponding position sub-area data Ai and Bi or A 2 and B 2 .
  • the partial position area Ti is selected as the next partial position area to be divided (cf. also FIG. 7C).
  • a division now takes place in a direction orthogonal to the division direction in the previous step S12.3, namely the second axis, the DU AB axis, of the coordinate space or coordinate system.
  • the division is carried out in such a way that both newly formed partial location areas T3 and T4 contain at least the minimum number of location data records.
  • the area T3 is selected in such a way that one of the partial location areas that is formed contains the smallest possible number of location data records, but this number is greater than or equal to the minimum number.
  • the dividing line is again shown as a dashed line.
  • the partial layer area Ti is replaced by the newly formed partial layer areas T3 and T4.
  • the partial position area data Ai and Bi are replaced by corresponding partial position area data A3 and B3 or A4 and B4.
  • a partial position area in the example partial position area T4, is divided next from the partial position areas T2, T3 and T4 Location sub-area selected (see also Fig. 7D).
  • the location sub-area T3 has less than twice the specified minimum number of location data sets and can therefore no longer be divided further.
  • a division now takes place in a direction orthogonal to the division direction in the previous step S12.3, namely the first axis, the DCAB axis, the coordinate space or coordinate system.
  • the division is carried out in such a way that both newly formed partial location areas T5 and Te contain at least the minimum number of location data sets.
  • the area T5 is selected in such a way that one of the location sub-areas that is formed contains the smallest possible number of location data records, but this number is greater than or equal to the minimum number.
  • the dividing line is again shown as a dashed line.
  • the partial layer area T4 is replaced by the newly formed partial layer areas T5 and Te. Furthermore, the partial position area data A4 and B4 are replaced by corresponding partial position area data A5 and B5 or Ae and e.
  • the next position sub-area to be divided is selected from the now present single sub-position area T2 (cf. also FIG. 7D). . The division is then continued analogously to the divisions described above until the termination criterion is met.
  • step S14 a template is determined for the formed partial position areas using training images of the documents of value whose position coordinates lie in the respective partial position area. Furthermore, the respectively determined template and the template-assigned sub-area data, which describe the position and extent of the respective sub-area of location, are stored for the sub-area of location formed.
  • the pixel data for the pixels of the template are determined as a function of the corresponding pixel data of those training images whose position coordinates are in the respective partial position area. For example, lower and upper limits for permissible pixel data values, which result from the minimum and maximum of the corresponding pixel data of the corresponding pixels in the training images, can be defined as pixel data for a contamination test.
  • the location sub-area data preferably indicate the location and extent for a given shape of the location sub-area or the location, extent and shape of the respective location sub-area.
  • a rectangle is specified as the shape; the coordinates of diagonally opposite corners of the rectangle in the used coordinate space. These reflect both the location and the extent of the respective location sub-area.
  • a further exemplary embodiment of an adaptation method which is illustrated in a roughly schematic manner in FIG. 8, differs from the previous exemplary embodiment only in that step S14 is replaced by step S14 1 .
  • Step S14 1 differs from step S14 in that not only the training images of those training value documents whose location data sets are in the respective location sub-area are used to determine the templates for the location sub-areas, but also training images of those training value documents whose location data sets are within a predetermined maximum distance from the boundary of the respective sub-area of location, but lie outside of the sub-area of location.
  • the actual determination is analogous to the determination in the first example.
  • the maximum distance is 1 pixel.
  • FIG. 9 An example of a testing method for testing documents of value of the specified document of value type, in which templates are used which are specified for specified positions of the production elements, is illustrated in FIG. 9 in a roughly schematic manner.
  • templates and assigned partial location area data can be used as templates, which were determined with one of the described examples for adaptation methods.
  • the checking method can be carried out using the value document processing device 10 .
  • the templates and associated position partial area data can be stored in the evaluation device 47, for example.
  • step S20 during the transport of such a value document, a digital value document image of the value document to be checked that is transported past or through the sensor device 38 is captured by means of the sensor device 38, in particular the image capture device 40.
  • the digital document of value image comprises pixels to which pixel data are assigned in each case.
  • the resolution of the value document image corresponds to that of the training images. This means that the value document images have essentially the same number of pixels and arrangements as the training images.
  • a representation of such a value document image corresponds to that in FIG. 3C for training value documents. The same applies to the templates.
  • a position of the production elements is determined for the recorded value document image, the same method being used in the example as in the adaptation method in the first example. More precisely, position coordinates are determined in the same coordinate space as was also used in the adaptation method.
  • a template for the digital document of value image and thus a template for use in the further check is determined as a function of the determined position coordinates. For this purpose, it is checked in which of the stored partial position areas the position coordinates determined for the current document of value are located, with the partial position area data respectively assigned to the templates being used. In the example, it is precisely determined in which position sub-area defined by the position sub-area data, ie rectangle, the determined position coordinates lie.
  • step S26 The template corresponding to the partial position area data and thus to the partial position area is used as a template for the following step S26.
  • the digital document of value image is then checked using the determined template with a specified image checking method.
  • a specified image checking method In the example of a contamination test, the simplest example of the image test method can be used to check for each pixel whether the pixel data are between the minimum and the maximum specified by the template for the pixel. If the number of pixels for which this is not the case exceeds a specified number, contamination is detected, otherwise a sufficiently good condition.
  • step S28 a corresponding signal is generated and emitted in step S28, which reflects the result of the test.
  • a sorting signal can then be formed and emitted as initially described.
  • the termination criterion contains the criterion that the number of position data records in the position sub-areas differs by less than a tolerance component instead of the criterion relating to the number of position data records in a position sub-area differ from a reference value.
  • the arithmetic mean of the number of location data records in the currently existing partial location areas is used as the reference value. For example, a value of 20% can be selected as the tolerance component. A more even distribution can thus be achieved.
  • the division steps may have to be adjusted for this.
  • Still other exemplary embodiments can differ from the first two exemplary embodiments described in that the break criterion instead of the criterion relating to the number of location data sets in a location sub-area contains the criterion that an extension of the location sub-areas in at least one direction of the coordinate space falls below a predetermined maximum extension for the at least one direction.
  • an expansion in both coordinate directions can be specified. In this way, excessively large sub-areas of the position can be avoided.
  • the termination criterion contains the criterion that the number of partial position areas is less than or equal to a predetermined number of partial position areas. This number can be selected depending on the number of training images available and the speed required for the test.
  • the criterion used in the previous paragraph can preferably also be used. It is only terminated if both criteria are met.
  • a division step a division into three new partial location areas then takes place, although these must contain at least the minimum number of location data records.
  • exemplary embodiments can differ from the exemplary embodiments described above in that the templates are determined differently from the assigned training images. For example, a mean value of the corresponding pixel data of the pixel in the training images can be determined as pixel data for a pixel of the template. In other exemplary embodiments, a method as described in WO2008/058742 A1 can be used as the image checking method. The template data then has the form specified there. In the adaptation method, templates would be determined analogously to the determination of the adaptation data in the document mentioned.

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Abstract

L'invention concerne un procédé pour produire des gabarits pour contrôler des documents de valeur d'un type de document de valeur prédéfini, en particulier des billets de banque, les documents de valeur du type de document de valeur prédéfini présentant au moins deux éléments de production prédéfinis, en particulier des couches d'impression et/ou des éléments de sécurité, qui se chevauchent éventuellement en partie. Ce procédé fait intervenir des images d'apprentissage numériques de documents de valeur d'apprentissage du type de document de valeur prédéfini qui comportent respectivement des pixels auxquels sont respectivement associées des données de pixel. Le procédé selon l'invention comprend les étapes suivantes : pour les images d'apprentissage, déterminer respectivement des ensembles de données de position avec des coordonnées de position dans un espace de coordonnées, qui décrivent respectivement les positions des éléments de production sur le document de valeur au moins les uns par rapport aux autres, et former au moins deux, de préférence au moins quatre zones partielles de position de l'espace de coordonnées, qui comprennent respectivement au moins un nombre prédéfini des ensembles de données de position, les zones partielles de position ne contenant pas d'ensembles de données de position communes, pour les zones partielles de position, déterminer respectivement un gabarit à l'aide d'images d'apprentissage des documents de valeur, et sauvegarder le gabarit et des données de zone partielle de position qui décrivent la position et l'extension de la zone partielle de position respective. Cette invention concerne en outre un procédé pour contrôler des documents de valeur et un dispositif pour la mise en œuvre du procédé de contrôle.
PCT/EP2022/025226 2021-05-21 2022-05-13 Procédé et dispositif pour contrôler des documents de valeur et procédé et dispositif pour produire des paramètres de contrôle pour le procédé de contrôle WO2022242909A1 (fr)

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EP22728040.1A EP4341906A1 (fr) 2021-05-21 2022-05-13 Procédé et dispositif pour contrôler des documents de valeur et procédé et dispositif pour produire des paramètres de contrôle pour le procédé de contrôle
CN202280036105.5A CN117377979A (zh) 2021-05-21 2022-05-13 用于检验有价文件的方法和装置和用于产生检验方法的检验参数的方法和装置

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DE102021002672.1A DE102021002672A1 (de) 2021-05-21 2021-05-21 Verfahren und Vorrichtung zum Prüfen von Wertdokumenten und Verfahren und Vorrichtung zum Erzeugen von Prüfparameter für das Prüfverfahren
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WO2008058742A1 (fr) 2006-11-15 2008-05-22 Giesecke & Devrient Gmbh Procédé de détection des encrassements et/ou l'usure de l'encre dans la zone des transitions de couleur sur des documents de valeur et moyens en vue de mettre en œuvre le procédé
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